DEVELOPMENT... OpenML
Run
44700

Run 44700

Task 4266 (Supervised Classification) profb Uploaded 30-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I160
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6953
Per class
Build CPU time
2.5461
Build memory
1034928260.7941
F measure
0.6682
Per class
Kappa
0.2342
KB relative information score
1721.421
Mean absolute error
0.3153
Mean prior absolute error
0.4446
Number of instances
6720
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6657
Per class
Predictive accuracy
0.6844
Prior entropy
0.9188
Recall
0.6844
Per class
Relative absolute error
0.7091
Root mean prior squared error
0.4714
Root mean squared error
0.5318
Root relative squared error
1.1282
SciMark benchmark
935.2997